code: def main():
      args = get_args()
      tmp_dir = Path("tmp")
      i = 0
      while tmp_dir.exists():
          tmp_dir = Path("tmp" + str(i))
          i += 1
      tmp_filtered = tmp_dir / Path("filtered")
      tmp_filtered_src = tmp_filtered / Path("src")
      tmp_filtered_src.mkdir(parents=True, exist_ok=True)
      if args.input_tgt is None:
          tmp_filtered_tgt = None
      else:
          tmp_filtered_tgt = tmp_filtered / Path("tgt")
          tmp_filtered_tgt.mkdir(parents=True, exist_ok=True)
      tmp_removed = tmp_dir / Path("removed")
      tmp_removed_src = tmp_removed / Path("src")
      tmp_removed_src.mkdir(parents=True, exist_ok=True)
      if args.input_tgt is None:
          tmp_removed_tgt = None
      else:
          tmp_removed_tgt = tmp_removed / Path("tgt")
          tmp_removed_tgt.mkdir(parents=True, exist_ok=True)
      num_jobs = (
          mp.cpu_count() if args.num_jobs is None else args.num_jobs
      )
      src_edges, tgt_edges, num_lines = get_edges_and_num_lines(
          args.input_src, args.input_tgt, num_jobs
      )
      global counter
      counter = mp.Value("i", 0)
      t = tqdm(total=num_lines, desc="Length Ratio Filtering")
      with mp.Pool(
          num_jobs, initializer=init, initargs=(counter,)
      ) as pool:
          async_result = pool.map_async(
              filter_by_length_and_ratio,
              [
                  (
                      se,
                      te,
                      args.input_src,
                      args.input_tgt,
                      tmp_filtered_src,
                      tmp_filtered_tgt,
                      tmp_removed_src,
                      tmp_removed_tgt,
                      args.min_length,
                      args.max_length,
                      args.ratio,
                      rank,
                  )
                  for rank, (se, te) in enumerate(
                      zip(src_edges, tgt_edges)
                  )
              ],
          )
          while not async_result.ready():
              t.update(counter.value)
              with counter.get_lock():
                  counter.value = 0
              sleep(0.1)
          t.update(counter.value)
  
      cat_results(
          [
              args.output_src,
              args.output_tgt,
              args.removed_src,
              args.removed_tgt,
          ],
          [
              tmp_filtered_src,
              tmp_filtered_tgt,
              tmp_removed_src,
              tmp_removed_tgt,
          ],
      )
      shutil.rmtree(tmp_dir)
  
file_path: NeMo/scripts/neural_machine_translation/length_ratio_filter.py
imports: import argparse
  import logging
  import multiprocessing
  import re
  import shutil
  import warnings
  from pathlib import Path
  from time import sleep
  from tqdm import tqdm
label_desc: Use image node_id 9 for calling a global function with example usage: main() without return types